Comprehensive approach to choice of compression and error-control coding algorithms for digital image transmission through communication channels

2005 ◽  
Author(s):  
N.I. Glumov
Keyword(s):  
Digital Image ◽  
Error Control ◽  
Communication Channels ◽  
Image Transmission ◽  
Comprehensive Approach ◽  
Error Control Coding

A New Approach in Digital Image Compression Using Unequal Error Protection (UEP)

2014 ◽  
Vol 704 ◽  
pp. 403-407
Author(s):  
Okuwobi Idowu Paul ◽  
Yong Hua Lu
Keyword(s):  
Image Compression ◽  
Compressive Sensing ◽  
Digital Image ◽  
Error Control ◽  
Unequal Error Protection ◽  
Error Protection ◽  
Error Control Coding ◽  
New Approach ◽  
Digital Image Compression ◽  
Transform Domains

This paper proposes a new algorithms for compression of digital images especially at the encoding stage of compressive sensing. The research consider the fact that a certain region of a given imagery is more important in most applications. The first algorithm proposed for the encoding stage of Compressive Sensing (CS) exploits the known structure of transform image coefficients. The proposed algorithm makes use of the unequal error protection (UEP) principle, which is widely used in the area of error control coding. The second algorithm which exploits the UEP principle to recover the more important part of an image with more quality while the rest part of the image is not significantly degraded. The proposed algorithm shown to be successful in digital image compression where images are represented in the spatial and transform domains. This new algorithm were recommended for use in image compression.

Digital image acquisition, processing, and analysis in a polymer microscopy laboratory

1994 ◽  
Vol 52 ◽  
pp. 454-455
Author(s):  
Vinod K. Berry ◽  
Xiao Zhang
Keyword(s):  
United States ◽  
Image Analysis ◽  
Digital Image ◽  
Image Acquisition ◽  
Image Transmission ◽  
The United States ◽  
Quantitative Image Analysis ◽  
Quantitative Image

In recent years it became apparent that we needed to improve productivity and efficiency in the Microscopy Laboratories in GE Plastics. It was realized that digital image acquisition, archiving, processing, analysis, and transmission over a network would be the best way to achieve this goal. Also, the capabilities of quantitative image analysis, image transmission etc. available with this approach would help us to increase our efficiency. Although the advantages of digital image acquisition, processing, archiving, etc. have been described and are being practiced in many SEM, laboratories, they have not been generally applied in microscopy laboratories (TEM, Optical, SEM and others) and impact on increased productivity has not been yet exploited as well.In order to attain our objective we have acquired a SEMICAPS imaging workstation for each of the GE Plastic sites in the United States. We have integrated the workstation with the microscopes and their peripherals as shown in Figure 1.

Sign in / Sign up

Export Citation Format

Share Document